---
title: Connect to Google Vertex
description: This page provides step-by-step instructions for setting up a Google Vertex AI connector for the first time. This connector type enables you to leverage...
url: https://www.elastic.co/elastic/docs-builder/docs/3016/explore-analyze/ai-features/llm-guides/connect-to-google-vertex
products:
- Elastic Cloud Serverless
- Elastic Security
applies_to:
- Serverless Security projects: Generally available
- Elastic Stack: Generally available
---
# Connect to Google Vertex
This page provides step-by-step instructions for setting up a Google Vertex AI connector for the first time. This connector type enables you to leverage Vertex AI’s large language models (LLMs) within Elastic Security. You’ll first need to enable Vertex AI, then generate a key, and finally configure the connector in your Elastic Security project.
Before continuing, you should have an active project in one of Google Vertex AI’s [supported regions](https://cloud.google.com/vertex-ai/docs/general/locations#feature-availability).
## Enable the Vertex AI API
1. Log in to the GCP console and navigate to **Vertex AI → Vertex AI Studio → Overview**.
2. If you’re new to Vertex AI, the **Get started with Vertex AI Studio** popup appears. Click **Vertex AI API**, then click **ENABLE**.
The following video demonstrates these steps.
[](https://videos.elastic.co/watch/vFhtbiCZiKhvdZGy2FjyeT?)
For more information about enabling the Vertex AI API, refer to [Google’s documentation](https://cloud.google.com/vertex-ai/docs/start/cloud-environment).
## Create a Vertex AI service account
1. In the GCP console, navigate to **APIs & Services → Library**.
2. Search for **Vertex AI API**, select it, and click **MANAGE**.
3. In the left menu, navigate to **Credentials** then click **+ CREATE CREDENTIALS** and select **Service account**.
4. Name the new service account, then click **CREATE AND CONTINUE**.
5. Under **Select a role**, select **Vertex AI User**, then click **CONTINUE**.
6. Click **Done**.
The following video demonstrates these steps.
[](https://videos.elastic.co/watch/tmresYYiags2w2nTv3Gac8?)
## Generate a key
1. Return to Vertex AI’s **Credentials** menu and click **Manage service accounts**.
2. Search for the service account you just created, select it, then click the link that appears under **Email**.
3. Go to the **KEYS** tab, click **ADD KEY**, then select **Create new key**.
4. Select **JSON**, then click **CREATE** to download the key. Keep it somewhere secure.
The following video demonstrates these steps.
[](https://videos.elastic.co/watch/hrcy3F9AodwhJcV1i2yqbG?)
## Configure the Google Gemini connector
Finally, configure the connector in your Elastic deployment:
1. Log in to your Elastic deployment.
2. Find the **Connectors** page in the navigation menu or use the [global search field](https://www.elastic.co/elastic/docs-builder/docs/3016/explore-analyze/find-and-organize/find-apps-and-objects). Then click **Create Connector**, select **Google Gemini**.
3. Name your connector to help keep track of the model version you are using.
4. Under **URL**, enter the URL for your region.
5. Enter your **GCP Region** and **GCP Project ID**.
6. Under **Default model**, specify either `gemini-1.5.pro` or `gemini-1.5-flash`. [Learn more about the models](https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models).
7. Under **Authentication**, enter your credentials JSON.
8. Click **Save**.
The following video demonstrates these steps.
[](https://videos.elastic.co/watch/8L2WPm2HKN1cH872Gs5uvL?)